opengov-mcp-server-vercel

opengov-mcp-server-vercel

3.3

This document provides guidance on running a Model Context Protocol (MCP) server on Vercel, including setup and configuration details.

The Model Context Protocol (MCP) server is designed to facilitate the integration and deployment of machine learning models in a scalable and efficient manner. By leveraging Vercel's serverless architecture, developers can deploy MCP servers with ease, ensuring high availability and performance. The server setup requires a Redis instance for state management and benefits from Vercel's Fluid compute for optimized execution. This setup is ideal for developers looking to deploy machine learning models with minimal overhead and maximum efficiency.

Features

  • Serverless Deployment: Utilize Vercel's serverless architecture for easy and scalable deployment of MCP servers.
  • Redis Integration: Requires a Redis instance for efficient state management and data handling.
  • Fluid Compute: Leverage Vercel's Fluid compute for optimized execution and performance.
  • Customizable: Update server configurations with custom tools, prompts, and resources as per project requirements.
  • Sample Client: Includes a sample client script for testing and invocation of the MCP server.

Usage with Different Platforms

vercel

sh
node scripts/test-client.mjs https://mcp-on-vercel.vercel.app